"Local impact, global leadership"


Big data and data security in wind O&M

Supply chain, logistics and O&M on land and at sea

When: Wednesday, 29 November 2017, 11:30 - 12:45
Where: G105

Session description

Wind turbines produce a large amount of data, but how best to use them for performance assessment, plant optimisation and health monitoring is still far from clear. This session will look at how to optimise the use of high and low frequency turbine data to maximise the values of assets and will also consider the importance of keeping data secure in an age of cyber-crime.

Learning objectives

  1. Compare different modelling approaches to make sense of SCADA data for health monitoring
  2. Show how high-speed monitoring of generators can be analysed for monitoring generator health
  3. Demonstrate the benefits of hybrid model driven and domain driven approaches to wind turbine health-monitoring
  4. Show the importance of cyber-security to maintain the integrity of your data

Session chair

Simon Watson
Professor, Delft University of Technology


Towards hybrid domain/model data-driven approaches for real-time diagnostics of big cross-platforms fleets and its economic impact on operation & maintenance

Ander Larrañaga
Area Sales Manager, NEM Solutions

Condition monitoring of a wind turbine doubly-fed induction generator through current signature analysis

Estefania Artigao Andicoberry
Research Assisstant, Universidad de Castilla - La Mancha

Response deficit analysis in wind farm performance monitoring

Peter Clive
Senior Scientist, Wood Group

Digitalization and Cybersecurity in Wind O&M

Ole Helbo
Global Sales Solution Manager , Siemens Gamesa Renewable Energy

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